diff options
Diffstat (limited to 'doc/examples/seed_analysis.py')
| -rw-r--r-- | doc/examples/seed_analysis.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/doc/examples/seed_analysis.py b/doc/examples/seed_analysis.py index dd5aeeb..9404e11 100644 --- a/doc/examples/seed_analysis.py +++ b/doc/examples/seed_analysis.py @@ -161,7 +161,7 @@ A = nta.SeedCoherenceAnalyzer(time_series_seed, time_series_target, """ Similarly, the SeedCorrelationAnalyzer receives as input seed and target -time-series: +time-series: """ @@ -194,9 +194,9 @@ for this_seed in range(n_seeds): # Extract the coherence and average across these frequency bands: coh.append(np.mean(A.coherence[this_seed][:, freq_idx], -1)) # Averaging on the # last dimension - - cor.append(B.corrcoef[this_seed]) # No need to do any additional - # computation + + cor.append(B.corrcoef[this_seed]) # No need to do any additional + # computation """ @@ -247,15 +247,15 @@ for this_vox in range(n_seeds): ax_cor[-1].matshow(vol_cor[this_vox][:, :, random_slice].squeeze()) ax_cor[-1].set_title('Seed coords: %s' % coords_seeds[:, this_vox]) -for x in zip (['Coherence', 'Correlation'],[fig01,fig02]): - suptit = '%s between all the voxels in slice: '%x[0] +for x in zip(['Coherence', 'Correlation'], [fig01, fig02]): + suptit = '%s between all the voxels in slice: ' % x[0] suptit += '%i and seed voxels' % random_slice x[1].suptitle(suptit) """ -We can now compare the results in the coherence: +We can now compare the results in the coherence: .. image:: fig/seed_analysis_01.png |